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Robust Regression Computation Using Iteratively Reweighted Least Squares

机译：基于迭代重加权最小二乘法的鲁棒回归计算

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O'Leary, D. P.;
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年度 1990
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总页数 16
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Matrices(Mathematics); Computations; Least squares method; Algorithms; Estimates; Iterations; Weighting functions; Reprints;

机译：矩阵（数学）;计算;最小二乘法;算法;估计;迭代;加权函数;重印;

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1. An iteratively reweighted least-squares approach to adaptive robust adjustment of parameters in linear regression models with autoregressive and t-distributed deviations [J] . Kargoll Boris, Omidalizarandi Mohammad, Loth Ina, Journal of Geodesy . 2018,第3期

机译：具有自回归和t分布偏差的线性回归模型中参数自适应鲁棒调整的迭代加权最小二乘方法
2. Globally-convergent Iteratively Reweighted Least Squares for Robust Regression Problems [J] . Bhaskar Mukhoty, Govind Gopakumar, Prateek Jain, JMLR: Workshop and Conference Proceedings . 2018,第2010期

机译：全局收敛的迭代加权最小二乘求解鲁棒回归问题
3. Globally-convergent Iteratively Reweighted Least Squares for Robust Regression Problems [J] . Bhaskar Mukhoty, Govind Gopakumar, Prateek Jain, JMLR: Workshop and Conference Proceedings . 2018,第2009期

机译：全局收敛的迭代加权最小二乘求解鲁棒回归问题
4. Robust Target Localization Based on Squared Range Iterative Reweighted Least Squares [C] . Alireza Zaeemzadeh, Mohsen Joneidi, Behzad Shahrasbi, IEEE International Conference on Mobile Adhoc and Sensor Systems . 2017

机译：基于平方范围迭代加权最小二乘的鲁棒目标定位
5. Robust Variable Selection in Multiple Linear Regression Via Penalized Least Trimmed Squares [D] . Kesseku, Reagan. 2021

机译：通过惩罚最小修剪方块的多个线性回归中的强大变量选择
6. PNAS Plus: Robust spectrotemporal decomposition by iteratively reweighted least squares [O] . Demba Ba, Behtash Babadi, Patrick L. Purdon, 2014

机译：PNAS Plus：通过迭代加权最小二乘法进行可靠的光谱时分解
7. ROBUST REGRESSION COMPUTATION USING ITERATIVELY REWEIGHTED LEAST SQUARES* [O] . Dianne P. O’learyt 2013

机译：使用最小二乘迭代加权的鲁棒回归计算*
8. Note on Computing Robust Regression Estimates via Iteratively Reweighted Least Squares [R] . Street, J. O., Carroll, R. J., Ruppert, D. 1988

机译：关于通过迭代重加权最小二乘法计算鲁棒回归估计的注记

Robust Regression Computation Using Iteratively Reweighted Least Squares

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